# -- coding: utf-8 --
"""
# [Example] Miahx© 交互框架信息表示模型的 DDS 消息收发示例

**模块：MIAHX© / 框架基础服务层（FFST） / 交互框架信息表示模型（IFIRM）**

Version: 0.4.10,
Last updated: October 13, 2024

## Contributor(s)
* YAO Naiming <[naiming@iscas.ac.cn](mailto:naiming@iscas.ac.cn)>

## Change log
### v0.4.10
- .13: [更新] 适配新消息定义
- .11: [更新] 适配新消息定义 (deprecated)
- .2: [更新] 适配新接口
### v0.4.7
- .24：[新增] 初始实现

---
Copyright © 2024-2025 MIAHX Contributors, ISCAS, and ASIC. All Rights Reserved.
Licensed under Apache-2.0.
"""

import threading
import time

import numpy as np
from miahx_support.dds.fastdds import *
from miahx_support.stag import STag

import launcher


def audio_writer(p: Participant, e: threading.Event):
    stag = STag(**dict(sensor_channel=1, sensor_domain='HUMAN', sensor_type='PAMC_DJI',
                       sensor_channel_type='SPEECH', sensor_modality='AUDIO', sensor_data_format='WAV')).encode()
    writer = SpeechStreamWriter(p, stag=stag, srate=16000, schns=['L', 'R'])
    while not e.is_set():
        rawdata = np.zeros((1600, 2), dtype=np.int16)
        items = [(1, 1.0, 2, rawdata, 'hello word', ['hello', 'world']),
                 (2, 2.0, 2, rawdata, 'beautiful cloud', ['beautiful', 'cloud'])]
        writer.write(items, iid=0, uts=0)
        time.sleep(1)


def audio_reader(p: Participant, e: threading.Event):
    def on_data_available(data):
        hdr = data.header()
        dm = hdr.header().domain()
        src = hdr.header().source()
        prefix = f'[{dm}::{src}::{name}]'

        schns = tuple(hdr.schns())
        samples = list(data.samples())
        log.info(f'{prefix} stag = `{hdr.stag()}`')
        log.info(f'{prefix} srate = `{hdr.srate()}`')
        log.info(f'{prefix} schns = `{schns}`')
        log.info(f'{prefix} elements = [{len(samples)}]')

        for i, sample in enumerate(samples):
            log.info(f'{prefix} Element [{i}]:')

            rawdata = sample.rawdata()
            if rawdata is not None:
                rawdata = np.array(rawdata).reshape((-1, len(schns)))
                log.info(f'{prefix} sample_width = `{sample.swidth()}`')
                log.info(f'{prefix} rawdata.shape = `{rawdata.shape}`')

            transcript = sample.transcript()
            if transcript is not None:
                log.info(f'{prefix} \t\ttranscript = `{transcript}`')

            tokens = sample.tokens()
            if tokens is not None:
                log.info(f'{prefix} \t\ttokens = `{list(tokens)}`')

            log.info(f'{prefix} End Element [{i}] --------')

        log.info(f'{prefix} ----------------')

    with SpeechStreamReader(p, on_data_listeners=[on_data_available]) as reader:
        name = type(reader).__name__
        log.success(f'[{name}] Topic: {reader.topic_name}')
        reader.wait(e)


if __name__ == '__main__':
    log = launcher.log
    event = threading.Event()
    participant = Participant()
    launcher.run(lambda: (event, [
        threading.Thread(target=audio_writer, args=(participant, event), daemon=False),
        threading.Thread(target=audio_reader, args=(participant, event), daemon=False),
    ]))
